188 parallel-computing-numerical-methods-"Prof" positions at Technical University of Munich in Germany
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
knowledge of energy system modelling or climate modelling Good knowledge of deep learning, PDEs or mathematical/numerical optimization methods Enthusiasm for challenging problems and interdisciplinary
-
computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
-
technical alignment in the three use cases. The PhD candidate will be able to carry out a dissertation project within the framework of LLMs governance supervised by Prof. Dr. Urs Gasser (TUM). Eligibility
-
methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
-
in Life Sciences or in Computational Biology • Experience in flow cytometry, cell culture and in high-dimensional single-cell data analysis and programming skills are a plus • Organizational skills and
-
College (Prof. Pinson). The core objective of the COMET project is to develop and validate novel data sharing and machine learning-based methods for achieving net-zero carbon energy supply and investigate
-
internships), if available, or contact information for two references. Applications submitted by May 15th will be given full consideration. If you have any questions prior to applying, please contact Prof. Dr
-
-cell data has its own statistical and computational challenges, and standard tools often cannot be applied. The purpose of the position and goal of the project is to develop and apply bioinformatic tools
-
methods for the design, verification, and test of circuits and systems for conventional as well as alternative and post-CMOS computing technologies. Besides that, we have successfully applied the methods
-
hubs for STS, we are a lively intellectual community of 80+ researchers from numerous disciplines and fields of specialization. As a department, we deliver 2 Master’s programs and design STS content